TY - CHAP T1 - IN PRESS: Using the Southwest Experimental Garden Array to enhance riparian restoration in response to global change: Identifying and deploying genotypes and populations for current and future environments. T2 - In Riparian research and management: Past, present, future. Y1 - 2017 A1 - Whitham, T.G. A1 - C.A. Gehring A1 - H.M. Bothwell A1 - H.F. Cooper A1 - J.B. Hull A1 - G.J. Allan A1 - K.C. Grady A1 - L. Markovchick A1 - S.M. Shuster A1 - J. Parker A1 - A.E. Cadmus A1 - D.H. Ikeda A1 - R.K. Bangert JF - In Riparian research and management: Past, present, future. PB - Gen. Tech. Rep. RMRS-GTR-inpress Fort Collins U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. CY - Fort Collins, CO, USA VL - 2 ER - TY - JOUR T1 - IN REVIEW: Plant production responses to precipitation differ along an elevation gradient and are enhanced under extremes. JF - Oecologia Y1 - 2017 A1 - Munson,SM A1 - Bunting,E A1 - Bradford,JB A1 - Butterfield,BJ A1 - Gremer,JR N1 - [Original String]:Munson, S.M., Bunting E., Bradford, J.B., Butterfield, B.J. and Gremer, J.R. In review. Plant production responses to precipitation differ along an elevation gradient and are enhanced under extremes. Oecologia. ER - TY - JOUR T1 - The impacts of increasing drought on forest dynamics, structure, and biodiversity in the United States. JF - Global change biology Y1 - 2016 A1 - James S Clark A1 - Iverson,Louis A1 - Woodall,Christopher W A1 - Allen,Craig D A1 - Bell,David M A1 - Bragg,Don C A1 - D'Amato,Anthony W A1 - Davis,Frank W A1 - Hersh,Michelle H A1 - Ibanez,Ines A1 - Jackson,Stephen T A1 - Matthews,Stephen A1 - Pederson,Neil A1 - Peters,Matthew A1 - Schwartz,Mark W A1 - Waring,Kristen M A1 - Zimmermann,Niklaus E KW - biodiversity KW - Droughts KW - Ecosystem KW - Forests KW - Trees KW - United States AB -

We synthesize insights from current understanding of drought impacts at stand-to-biogeographic scales, including management options, and we identify challenges to be addressed with new research. Large stand-level shifts underway in western forests already are showing the importance of interactions involving drought, insects, and fire. Diebacks, changes in composition and structure, and shifting range limits are widely observed. In the eastern US, the effects of increasing drought are becoming better understood at the level of individual trees, but this knowledge cannot yet be confidently translated to predictions of changing structure and diversity of forest stands. While eastern forests have not experienced the types of changes seen in western forests in recent decades, they too are vulnerable to drought and could experience significant changes with increased severity, frequency, or duration in drought. Throughout the continental United States, the combination of projected large climate-induced shifts in suitable habitat from modeling studies and limited potential for the rapid migration of tree populations suggests that changing tree and forest biogeography could substantially lag habitat shifts already underway. Forest management practices can partially ameliorate drought impacts through reductions in stand density, selection of drought-tolerant species and genotypes, artificial regeneration, and the development of multistructured stands. However, silvicultural treatments also could exacerbate drought impacts unless implemented with careful attention to site and stand characteristics. Gaps in our understanding should motivate new research on the effects of interactions involving climate and other species at the stand scale and how interactions and multiple responses are represented in models. This assessment indicates that, without a stronger empirical basis for drought impacts at the stand scale, more complex models may provide limited guidance.

VL - 22 SN - 1354-1013 UR - http://www.ncbi.nlm.nih.gov/sites/entrez?Db=pubmed&DbFrom=pubmed&Cmd=Link&LinkName=pubmed_pubmed&LinkReadableName=Related%20Articles&IdsFromResult=26898361&ordinalpos=3&itool=EntrezSystem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_RVDocSumhttp://www.ncbi. IS - 7 ER - TY - Generic T1 - Influence of varying nitrogen availability on soil microbial growth efficiency. T2 - Ecological Society of America Annual Meeting Y1 - 2015 A1 - Hagerty,SB A1 - KJ van Groenigen A1 - Schwartz,E A1 - Hungate,BA A1 - GW Koch A1 - P Dijkstra JF - Ecological Society of America Annual Meeting T3 - Ecological Society of America Annual Meeting PB - ESA CY - Baltimore, MD, USA N1 - [Original String]:Hagerty, S.B., van Groenigen, K.J., Schwartz, E., Hungate, B.A., Koch, G.W. and Dijkstra, P. (2015). Influence of varying nitrogen availability on soil microbial growth efficiency. ESA Aug 9-14, Baltimore. ER - TY - JOUR T1 - Inferential ecosystem models, from network data to prediction. JF - Ecological applications : a publication of the Ecological Society of America Y1 - 2011 A1 - James S Clark A1 - Agarwal,Pankaj A1 - Bell,David M A1 - Flikkema,Paul G A1 - Gelfand,Alan A1 - Nguyen,Xuanlong A1 - Ward,Eric A1 - Yang,Jun KW - Bayes Theorem KW - Data Interpretation, Statistical KW - Ecology KW - Ecosystem KW - Forecasting KW - Models, Biological KW - Models, Statistical KW - Plant Transpiration KW - Plants KW - Time Factors AB -

Recent developments suggest that predictive modeling could begin to play a larger role not only for data analysis, but also for data collection. We address the example of efficient wireless sensor networks, where inferential ecosystem models can be used to weigh the value of an observation against the cost of data collection. Transmission costs make observations "expensive"; networks will typically be deployed in remote locations without access to infrastructure (e.g., power). The capacity to sample intensively makes sensor networks valuable, but high-frequency data are informative only at specific times and locations. Sampling intervals will range from meters and seconds to landscapes and years, depending on the process, the current states of the system, the uncertainty about those states, and the perceived potential for rapid change. Given that intensive sampling is sometimes critical, but more often wasteful, how do we develop tools to control the measurement and transmission processes? We address the potential of data collection controlled and/or supplemented by inferential ecosystem models. In a given model, the value of an observation can be evaluated in terms of its contribution to estimates of state variables and important parameters. There will be more than one model applied to network data that will include as state variables water, carbon, energy balance, biogeochemistry, tree ecophysiology, and forest demographic processes. The value of an observation will depend on the application. Inference is needed to weigh the contributions against transmission cost. Network control must be dynamic and driven by models capable of learning about both the environment and the network. We discuss application of Bayesian inference to model data from a developing sensor network as a basis for controlling the measurement and transmission processes. Our examples involve soil moisture and sap flux, but we discuss broader application of the approach, including its implications for network design.

VL - 21 SN - 1051-0761 UR - http://www.ncbi.nlm.nih.gov/sites/entrez?Db=pubmed&DbFrom=pubmed&Cmd=Link&LinkName=pubmed_pubmed&LinkReadableName=Related%20Articles&IdsFromResult=21830699&ordinalpos=3&itool=EntrezSystem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_RVDocSumhttp://www.ncbi. IS - 5 ER - TY - JOUR T1 - Importance of species interactions to community heritability: a genetic basis to trophic-level interactions. JF - Ecology letters Y1 - 2006 A1 - JK Bailey A1 - Wooley,Stuart C A1 - Lindroth,Richard L A1 - Whitham,Thomas G KW - Animals KW - Aphids KW - Birds KW - Food Chain KW - Genotype KW - Plant Leaves KW - Populus AB -

Recent community genetics studies have shown that specific genotypes of a host plant support distinct arthropod communities. Building upon these findings, we examined the hypothesis that a trophic community consisting of cottonwood trees, a galling herbivore and avian predators could also be related to the genetics of the host tree. We found genetic correlations among phytochemistry of individual tree genotypes, the density of a galling herbivore, and the intensity of avian predation on these herbivores. We detected significant broad-sense heritability of these interactions that range from H(B)2 = 0.70 to 0.83. The genetic basis of these interactions tended to increase across trophic levels suggesting that small genetic changes in the cottonwood phenotype could have major consequences at higher trophic levels affecting species interactions and energy flow. These findings show a heritable basis to trophic-level interactions indicating that there is a significant genetic basis to community composition and energy flow that is predictable by plant genotype. Our data clearly link plant genetics to patterns of avian foraging and show that species interactions are important components of community heritability and ecosystem processes. Overall, these data support the hypothesis that evolution of plant traits can alter trophic-level interactions and community composition.

VL - 9 SN - 1461-023X UR - http://www.ncbi.nlm.nih.gov/sites/entrez?Db=pubmed&DbFrom=pubmed&Cmd=Link&LinkName=pubmed_pubmed&LinkReadableName=Related%20Articles&IdsFromResult=16958871&ordinalpos=3&itool=EntrezSystem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_RVDocSumhttp://www.ncbi. IS - 1 ER -